Manager, Data Science (GenAI Solutions & ML Engineering)

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Company Overview
A leading global logistics and transportation company is seeking a Manager for Data Science & AI to lead enterprise AI initiatives. The organization focuses on building scalable AI and Generative AI solutions to optimize operations, enhance customer experiences, and drive measurable business outcomes. The company fosters innovation by leveraging cutting-edge ML frameworks, MLOps practices, and global AI collaboration across teams in the US and India.

Summary
The Manager, Data Science & AI will lead a team of ML engineers to develop, deploy, and scale production-grade AI and Generative AI solutions. This role requires deep technical expertise, leadership skills, and the ability to translate AI innovations into measurable business impact across enterprise systems.

Responsibilities

• Lead and mentor a team of ML engineers, ensuring delivery of high-quality AI and Generative AI solutions
• Partner with Data Science teams to transition models from experimentation into robust, scalable production systems
• Design and implement Generative AI applications, including:
  • RAG-enabled knowledge assistants
  • Internal copilots for operations, sales, and customer service
  • Multimodal AI solutions leveraging structured data, documents, and images
• Define and execute MLOps strategy, including:
  • Standardizing CI/CD pipelines for ML
  • Model lifecycle management and governance
  • Observability, performance monitoring, and drift detection
• Build reusable AI services, APIs, and shared frameworks to accelerate delivery across US and India AI teams
• Drive Computer Vision enablement, ensuring scalable training, inference, and monitoring pipelines
• Serve as a trusted advisor to senior stakeholders, translating AI capabilities into operational efficiency, cost reduction, and revenue growth
• Conduct architecture reviews, code reviews, and performance tuning to uphold engineering standards
• Stay updated with advancements in ML Engineering, Generative AI, and MLOps to guide enterprise adoption

Qualifications

Minimum Qualifications

• Bachelor’s degree or equivalent related work or military experience
• 5+ years of experience in Machine Learning Engineering, Applied AI, or MLOps, including hands-on development of ML and Generative AI solutions
• 3+ years of experience leading high-performing technical teams
• Strong technical foundation in end-to-end AI systems, including scalable MLOps pipelines, production-grade ML inference services, and Generative AI applications
• Proficiency in Python and modern ML frameworks (e.g., PyTorch)
• Experience integrating AI systems with enterprise applications and data platforms
• Strong communication skills with the ability to influence engineering, product, and business stakeholders

Preferred Qualifications

• Master’s degree or PhD in Computer Science, Engineering, Data Science, or related field
• Experience building and scaling enterprise AI platforms and acting as a Center of Excellence
• Hands-on experience with LLM application development, prompt engineering, evaluation frameworks, and guardrails
• Knowledge of vector databases, retrieval systems, model monitoring, drift detection, and AI governance
• Experience deploying AI solutions in cloud environments (AWS, Azure, GCP)
• Familiarity with containerization and orchestration (Docker, Kubernetes)
• Experience working across globally distributed teams
• Strong business acumen with measurable ROI from AI initiatives

Pay, Benefits, and More

• Competitive compensation package
• Full health insurance benefits on day one
• Life and disability insurance
• Up to 15 days PTO in the first year
• 9 paid company holidays
• 401(k) option with company match
• Education assistance
• Opportunity to participate in a company incentive plan

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
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4. No Liability: SpringCube is not liable for inaccuracies.